Microsoft Fabric Consulting
Turn data complexity into competitive velocity with an AI-ready Fabric foundation.
Maximize ROI and simplify governance with a centralized data and AI strategy.
Maximize performance, minimize spend
Audit your environment to implement V-Order optimization and Direct Lake connectivity. Ensure reports load in seconds while eliminating capacity sprawl, reducing your Azure bill, and preventing system throttling.
Deploy 0 downtime code conversion
Untangle legacy SQL, SSIS, and Synapse environments into a clean, unified architecture, mapping every dependency to move your business logic into Fabric without breaking critical downstream reporting.
Automate innovation with agentic workflows
Deploy autonomous agents and secure ML models directly within OneLake. Establish Microsoft Purview guardrails to ensure your AI Copilots deliver insights without compromising sensitive executive data.
How we work with you
Architect a scalable single source of truth that aligns with your business goals.
Map your existing data silos into a unified Fabric architecture. With a clear and comprehensive roadmap defined, your environment is built for performance.
Eliminate legacy complexity with a zero-downtime transition to OneLake.
Refactor your existing SQL scripts, ADF pipelines, and SSIS packages into Fabric-native Spark Notebooks and Data Factory workflows. Ensure your critical business logic remains intact while capitalizing on Direct Lake speeds and zero-copy data sharing.
Secure your data estate for the era of agentic AI and Copilot.
Automate sensitivity labels and lineage tracking from ingestion to Power BI. Establish the security frameworks necessary for your team to use Fabric Copilots and agents without risking exposure of restricted or sensitive executive data.
Deploy AI-ready semantic models.
Enable real-time operational analytics grounded in OneLake. By building governed self-service layers and tuning models for high concurrency, your team can leverage Copilot and ML pipelines without performance bottlenecks.
Slash cloud spend and achieve 10x faster insights through technical tuning.
Apply advanced V-Order optimization and capacity smoothing to ensure your F-SKU resources are utilized with maximum efficiency, with optimized reserved capacity.
Ensure SLA-backed DataOps with proactive cost and performance governance.
Gain 24/7 monitoring and automated guardrails to prevent runaway costs and system throttling across your Fabric tenant. Continuously optimize your capacity units and pipeline health, shifting workloads to reserved capacity to consistently save you up to 40% on monthly cloud spend.
Eliminate data fragmentation with a unified, all-in-one ecosystem.
Accelerate your migration:
Move from legacy data silos to a unified data engine.
Move beyond the dashboard to agentic workflows on Microsoft Fabric.
Unifying a global business services firm’s fragmented Azure data estate into a production-grade Fabric platform
Pythian consolidated five legacy Microsoft services into a single governed lakehouse.
40%
Reduction in costs
10x
Faster data access
<60
Days to deploy AI
Frequently asked questions (FAQ) about Microsoft Fabric consulting services
We configure Microsoft Purview from day one with sensitivity labels, row-level security, and dynamic data masking that follow data across every Fabric workload, from OneLake storage through Power BI reports. For regulated industries, we align Fabric with HIPAA, SOC 2, PCI DSS, and GDPR using Microsoft's built-in compliance frameworks. Private endpoints and network isolation protect your tenant from unauthorized access. Dual-run validation during migration confirms zero security gaps between source and target environments.
Fabric's unified capacity model replaces multiple Azure bills (Synapse, ADF, Power BI Premium) with a single pool of capacity units. Customers who consolidate fragmented Azure services into Fabric typically see 30-40 percent reductions in total Azure data spend. V-Order optimization and Direct Lake mode can cut Power BI report rendering time by up to 60 percent, reducing the compute cost of every dashboard interaction. Within that consolidation savings, moving from pay-as-you-go to reserved capacity is one of the biggest levers, cutting monthly Fabric bills by up to 40 percent. Most customers see measurable cost reductions within the first 90 days of optimization.
Complexity depends on the number of pipelines, stored procedures, and downstream dependencies in your current environment. We convert ADF Mapping Data Flows and SSIS packages into Fabric-native Data Factory pipelines or Spark notebooks. Business logic that automated conversion misses gets manual engineering from teams who know both platforms. OneLake shortcuts let you query existing Azure Data Lake Storage without moving data upfront, so teams keep working during migration. Both environments run in parallel during validation.
Fabric handles both. Real-time intelligence processes streaming data from IoT sensors, event hubs, and operational systems with sub-second latency. Change data capture through the Data Factory keeps your lakehouse current with live transactional data. Pythian designs architectures that combine batch pipelines and streaming ingestion in a single Fabric environment so you don't need separate tools for each workload.
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